Title
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 27 3 0 16 Oct 2023
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations Haoyang Zhang Yirui Eric Zhou Yu Xue Yiqi Liu Jian Huang 30 17 0 13 Oct 2023
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 32 0 0 13 Oct 2023
Designing Observables for Measurements with Deep Learning Owen Long Benjamin Nachman OOD 28 1 0 12 Oct 2023
Polynomial Time Cryptanalytic Extraction of Neural Network Models Adi Shamir Isaac Canales-Martínez Anna Hambitzer J. Chávez-Saab Francisco Rodríguez-Henríquez Nitin Satpute AAML MLAU 45 13 0 12 Oct 2023
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives Chenzhong Yin Mingxi Cheng Xiongye Xiao Xinghe Chen Shahin Nazarian Andrei Irimia Paul Bogdan 32 2 0 11 Oct 2023
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy Andrei C. Aioanei R. Hunziker-Rodewald Konstantin Klein Dominik L. Michels 33 2 0 11 Oct 2023
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification Jie Zhang Yongshan Zhang Yicong Zhou 13 0 0 11 Oct 2023
Large-Scale OD Matrix Estimation with A Deep Learning Method Zheli Xiong Defu Lian Enhong Chen Gang Chen Xiaomin Cheng 21 0 0 09 Oct 2023
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio Gang Xu Shuhao Wang Lingyu Zhao Xiao Chen Tongwei Wang ... Wei Ba Zhigang Song Huaiyin Shi Dingrong Zhong Jianpeng Ma 24 1 0 09 Oct 2023
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge Giacomo Verardo Magnus Boman Samuel Bruchfeld Marco Chiesa Sabine Koch Gerald Q. Maguire Dejan Kostić 20 1 0 06 Oct 2023
Quantized Transformer Language Model Implementations on Edge Devices Mohammad Wali Ur Rahman Murad Mehrab Abrar Hunter Gibbons Copening Salim Hariri Sicong Shao Pratik Satam Soheil Salehi MQ 19 8 0 06 Oct 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 38 0 0 05 Oct 2023
Reverse-Mode AD of Reduce-by-Index and Scan in Futhark Lotte Maria Bruun Ulrik Stuhr Larsen N. Hinnerskov C. Oancea 18 1 0 05 Oct 2023
A peridynamic-informed deep learning model for brittle damage prediction Roozbeh Eghbalpoor A. Sheidaei AI4CE 32 4 0 02 Oct 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models M. Zarlenga Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Z. Shams M. Jamnik 26 23 0 29 Sep 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 34 0 0 29 Sep 2023
Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration Sapphira Akins Frances Zhu 27 1 0 28 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 24 0 0 27 Sep 2023
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection? Kevin Wilkinghoff Frank Kurth AAML UQCV 33 8 0 27 Sep 2023
OceanBench: The Sea Surface Height Edition J. E. Johnson Q. Febvre Anastasia Gorbunova Sammy Metref M. Ballarotta Julien Le Sommer Ronan Fablet 43 2 0 27 Sep 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 37 22 0 27 Sep 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Daria Reshetova Swetava Ganguli C. V. K. Iyer Vipul Pandey 37 3 0 26 Sep 2023
Revisiting LARS for Large Batch Training Generalization of Neural Networks K. Do Duong Nguyen Hoa Nguyen Long Tran-Thanh Nguyen-Hoang Tran Viet Quoc Pham AI4CE ODL 31 0 0 25 Sep 2023
Identification of pneumonia on chest x-ray images through machine learning Eduardo Augusto Roeder 13 0 0 21 Sep 2023
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence Jingzu Yee Daichi Igarashi(五十嵐大地) Pradipto A. Yamanaka Yoshiyuki Tagawa(田川義之) 16 1 0 19 Sep 2023
TensorFlow Chaotic Prediction and Blow Up M. Andrecut AI4CE 6 0 0 14 Sep 2023
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes (with Appendix) Kalvik Jakkala Srinivas Akella 29 8 0 13 Sep 2023
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study Federico Retyk H. Fabregat Juan Aizpuru Mariana Taglio Rabih Zbib 18 1 0 13 Sep 2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis Di Guo Sijin Li Jun Liu Zhangren Tu Tianyu Qiu ... Donghai Lin Qing Hong Meijin Lin Yanqin Lin X. Qu 36 2 0 12 Sep 2023
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM) L. Dacosta Katherine Sytwu Catherine K. Groschner Mary C Scott 33 4 0 12 Sep 2023
Divergences in Color Perception between Deep Neural Networks and Humans E. Nadler Elise Darragh-Ford Bhargav Srinivasa Desikan Christian Conaway Mark Chu Tasker Hull Douglas Guilbeault 48 7 0 11 Sep 2023
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications Andrew Zhu Liam Dugan Alyssa Hwang Chris Callison-Burch VLM 19 8 0 11 Sep 2023
Mutation-based Fault Localization of Deep Neural Networks Ali Ghanbari Deepak-George Thomas Muhammad Arbab Arshad Hridesh Rajan 19 13 0 10 Sep 2023
Continual Robot Learning using Self-Supervised Task Inference Muhammad Burhan Hafez Stefan Wermter CLL SSL 16 6 0 10 Sep 2023
pPython Performance Study Chansup Byun William Arcand David Bestor Bill Bergeron V. Gadepally ... Albert Reuther Antonio Rosa S. Samsi Charles Yee J. Kepner LRM 15 2 0 07 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 29 2 0 05 Sep 2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations Nikolaos-Antonios Ypsilantis Kaifeng Chen Bingyi Cao Mário Lipovský Pelin Dogan-Schönberger Grzegorz Makosa Boris Bluntschli Mojtaba Seyedhosseini Ondrej Chum André Araujo SSL 31 13 0 04 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning Dejan Grubisic Bram Wasti Chris Cummins John Mellor-Crummey A. Zlateski 27 0 0 04 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 37 6 0 29 Aug 2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization Shuzhang Zhong Meng Li Yun Liang Runsheng Wang Ru Huang GNN 19 3 0 26 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 29 2 0 26 Aug 2023
Linear Oscillation: A Novel Activation Function for Vision Transformer Juyoung Yun LLMSV 21 0 0 25 Aug 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 36 0 0 23 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 27 21 0 23 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models F. Bockting Stefan T. Radev Paul-Christian Bürkner 29 9 0 22 Aug 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Peng Li Zhiyi Chen Xu Chu Kexin Rong 30 10 0 20 Aug 2023
Neural Architectures Learning Fourier Transforms, Signal Processing and Much More.... Prateek Verma 14 0 0 20 Aug 2023
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling Jiaqi Yin Cunxi Yu 21 2 0 19 Aug 2023
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations Monika Nagy-Huber Volker Roth AI4CE PINN 40 3 0 18 Aug 2023